DocumentCode
2556462
Title
Economic forecasting research based on artificial neural network technology
Author
Fang-yuan, Lu ; Feng-you, Gao
Author_Institution
Bus. Sch., Zhengzhou Univ., Zhengzhou
fYear
2008
fDate
2-4 July 2008
Firstpage
1151
Lastpage
1155
Abstract
Some essential parameter choices which key to the neural network performance have been researched, such as the network architecture, the initial weight value, the learning rate, the training algorithm With an example; it explains how the forecast has been carried on using the neural network technology. The result indicates that, the neural network technology applied in the economic forecasting, can overcome the shortcoming of traditional statistical analysis forecast model, and may achieve higher forecast precision.
Keywords
economic forecasting; neural nets; artificial neural network technology; economic forecasting research; network architecture; statistical analysis forecast model; Artificial neural networks; Economic forecasting; Algorithm; Artificial Neural Networks; Economic Forecasting;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference, 2008. CCDC 2008. Chinese
Conference_Location
Yantai, Shandong
Print_ISBN
978-1-4244-1733-9
Electronic_ISBN
978-1-4244-1734-6
Type
conf
DOI
10.1109/CCDC.2008.4597495
Filename
4597495
Link To Document